from fastai.vision.all import *
import gradio as gr

def is_cat(x): return x[0].isuper();

learn = load_learner('model.pkl')

categories = {'Dog', 'Cat'}

def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

image = gr.Image()
label =  gr.Label()
examples = ['Untitled.jpg']

intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples).launch()